Senior Data Scientist, Avp

Deutsche Bank

Bangalore, India
On-site
Google cloud platform (gcp)
Bigquery and dataflow
Python (pandas, numpy, scipy, statsmodels, pyspark)
Analyze, interpret, and derive actionable insights from extremely large and complex datasets using Google Cloud Platform (GCP) to understand trade flow at scale

Job Summary

  • Analyze, interpret, and derive actionable insights from extremely large and complex datasets using Google Cloud Platform (GCP) to understand trade flow at scale.
  • Develop forecasting and predictive-analytics models to support capacity planning, operational readiness, and risk mitigation, with scope to deploy AI/ML solutions.
  • Communicate insights through clear narratives, dashboards, and visualisations tailored to financial-markets stakeholders and collaborate with engineering teams to productionize repeatable analytical workflows.

Matching Summary

Analyze, interpret, and derive actionable insights from extremely large and complex datasets using Google Cloud Platform (GCP) to understand trade flow at scale.

Skills & Requirements

Must-have

  • Google Cloud Platform (GCP)
  • BigQuery and Dataflow
  • Python (Pandas, NumPy, SciPy, StatsModels, PySpark)
  • Strong SQL skills
  • Time-series analysis, forecasting
  • Anomaly and outlier detection
  • Trade lifecycle concepts

Nice-to-have

  • Market microstructure understanding
  • Trading behaviours and execution patterns
  • ML, AI techniques, Agentic frameworks
  • Data pipelines and orchestration tools

Key Requirements

  • Leading data science for the program
  • Development of junior colleagues
  • Hands-on experience with Google Cloud Platform
  • Experience applying rigorous statistical methods

Work Rights

Not specified

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